|
|
Absolute deviation, 绝对离差
/ e8 N( v# P- M: V% |Absolute number, 绝对数# g4 `9 v3 I8 r% t7 c
Absolute residuals, 绝对残差+ B6 f: t$ K3 i. ?3 W n" k1 U6 d
Acceleration array, 加速度立体阵
* C" o |+ R3 u: GAcceleration in an arbitrary direction, 任意方向上的加速度' j' y. ^# B' U' E) b0 I6 L& {9 P
Acceleration normal, 法向加速度) r* C$ g$ o8 `5 Q9 Q3 E: \
Acceleration space dimension, 加速度空间的维数' w" C/ ]# ^8 o4 [. i1 e$ J: D
Acceleration tangential, 切向加速度
7 ^& J( a/ Y b( |# C2 RAcceleration vector, 加速度向量
2 v z! [8 e$ p! QAcceptable hypothesis, 可接受假设
9 \1 {/ Z, g( `: S: S! D- W+ f$ AAccumulation, 累积8 t1 m$ C( T0 E( o
Accuracy, 准确度8 J* f7 v. l! ]/ m" Y& j0 n
Actual frequency, 实际频数0 m3 |9 ?& F5 w) { t( P* f" `" o+ L
Adaptive estimator, 自适应估计量
1 G2 {$ M' s; [+ DAddition, 相加1 N: c( x# l' S3 }; z' U
Addition theorem, 加法定理
' s! Q& G% S' r2 `Additivity, 可加性
7 b$ P, T9 s4 H% \$ gAdjusted rate, 调整率
. z# b* y; l( W, p6 p% a4 rAdjusted value, 校正值9 P2 Q* O- u2 l9 G( {& z. [$ o
Admissible error, 容许误差
8 M* C f1 A) Z+ @1 M/ V4 G* h4 rAggregation, 聚集性 u3 ~8 f# I. X- a/ y
Alternative hypothesis, 备择假设: d7 ?( [, l- V4 C( C/ D
Among groups, 组间
3 Y0 P; I, v) ~Amounts, 总量) X+ Y8 R6 b& f5 q$ _( b5 \& S1 Q* W
Analysis of correlation, 相关分析
. d# s% `7 ?* W9 RAnalysis of covariance, 协方差分析0 W! x: V7 @0 u) O1 V6 E
Analysis of regression, 回归分析1 [' e' J" j q5 I! D
Analysis of time series, 时间序列分析
. A$ D/ L: ^; r/ v2 NAnalysis of variance, 方差分析3 N Z: J* K) n/ q9 q4 N# I6 D
Angular transformation, 角转换
$ G2 J* X7 {0 IANOVA （analysis of variance）, 方差分析3 c8 T0 U' V' R% |) ~5 ^
ANOVA Models, 方差分析模型: h8 G9 E2 {+ x' ~; q) `
Arcing, 弧/弧旋 q2 k! v, e& z: ~0 h' `
Arcsine transformation, 反正弦变换
! c2 p# y, ]9 O" }' J! I6 v& PArea under the curve, 曲线面积8 F# W& j# W- ] e, X+ U
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 `# N: J h+ E7 w
ARIMA, 季节和非季节性单变量模型的极大似然估计
9 u1 f6 U# p7 W" N0 H, PArithmetic grid paper, 算术格纸
, {0 q3 x# `# j% N1 Q0 bArithmetic mean, 算术平均数
0 w a( ?$ {/ `* c! n5 ?Arrhenius relation, 艾恩尼斯关系
. A7 c' ?3 r9 f0 L U- `, ~Assessing fit, 拟合的评估
: s% e) c! p" J- v2 oAssociative laws, 结合律; Q) a- R: Y0 \4 H" j
Asymmetric distribution, 非对称分布
8 v | q3 l, H4 lAsymptotic bias, 渐近偏倚
% F0 H9 T; |7 C4 y% ~Asymptotic efficiency, 渐近效率
8 ^6 h" W K5 d8 J' c ?/ BAsymptotic variance, 渐近方差
6 y! U5 c& X; n- m# y& C- L a. F$ K7 CAttributable risk, 归因危险度, w% @+ w4 \; g+ m6 F
Attribute data, 属性资料* B7 {& D! G2 l6 p- J$ U# n0 Y
Attribution, 属性 I0 V4 r, d3 S8 ?, ?9 A. U
Autocorrelation, 自相关: z' u6 Q3 r3 y$ z: Y, s
Autocorrelation of residuals, 残差的自相关* X$ |# H- E, f" w2 D+ d$ v" s! }
Average, 平均数
4 p8 N5 e6 n# z4 }Average confidence interval length, 平均置信区间长度
4 i+ b% l6 Y! q& K5 ]Average growth rate, 平均增长率
3 d8 k) Q) h! `& v6 a, O( s/ IBar chart, 条形图
! P4 z% Y1 c4 r2 C( M% _. yBar graph, 条形图% f# `- n9 u1 m7 Y" |7 _
Base period, 基期! A6 z1 r/ m1 E" t
Bayes' theorem , Bayes定理
& S' q" a6 n. x. kBell-shaped curve, 钟形曲线2 x- m& h7 A% ]0 U, [) q7 j
Bernoulli distribution, 伯努力分布/ d! j# y6 t) o
Best-trim estimator, 最好切尾估计量! h4 ^, y- _! e$ [* l
Bias, 偏性
( q. _4 H# g- S& k) q" g: w0 j' YBinary logistic regression, 二元逻辑斯蒂回归
* {* d) Z# |! \7 Y0 CBinomial distribution, 二项分布
Y; N! k3 `: a% \) p& GBisquare, 双平方
1 Z0 e5 W7 r7 b7 hBivariate Correlate, 二变量相关" k0 E: o$ B6 x' m
Bivariate normal distribution, 双变量正态分布% D; c" f8 X, D* n7 W' d
Bivariate normal population, 双变量正态总体
. `$ [" v n: x. x' b. s, [- JBiweight interval, 双权区间
( Y+ r8 ]& x3 `Biweight M-estimator, 双权M估计量
# _7 B$ O# \& qBlock, 区组/配伍组
5 I0 z1 G! ?* W' y( A# R& ?BMDP(Biomedical computer programs), BMDP统计软件包& N9 _, x1 h2 u6 N. q' l$ |
Boxplots, 箱线图/箱尾图' y. @$ n/ K4 c7 R0 U6 U% Q9 X. U
Breakdown bound, 崩溃界/崩溃点! X) a, |' W, t" t
Canonical correlation, 典型相关
* k7 g! O& c/ z5 Q1 w+ x7 bCaption, 纵标目) U) X1 k1 X/ Q5 C4 ^# k
Case-control study, 病例对照研究3 w% o8 F3 L6 F) z# S& r
Categorical variable, 分类变量/ p R/ _2 P' j( v, B& K
Catenary, 悬链线
q1 x7 a2 U4 F+ X* u, }" LCauchy distribution, 柯西分布 _4 ~: C# T( [, J
Cause-and-effect relationship, 因果关系
/ L7 U- v/ f: @" k$ G3 r! k, mCell, 单元" d4 Q) Z+ e4 T
Censoring, 终检' J N! B$ _" l! p
Center of symmetry, 对称中心+ a" H) H/ s2 ^7 W+ w0 `, T* v
Centering and scaling, 中心化和定标
7 V) z- p7 G/ b. e, z1 JCentral tendency, 集中趋势
1 M) B8 q; B. @) V5 @Central value, 中心值. K* n. |* F: g7 L
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
7 V+ `" a( A5 H1 pChance, 机遇* C0 e& I1 y! e% Z8 @
Chance error, 随机误差
7 p, ^0 G6 H% u/ d$ d7 @% O% P2 zChance variable, 随机变量! u1 s/ H7 }$ _1 h$ j4 {* i; v
Characteristic equation, 特征方程
! ] ?* X9 O% I$ K8 nCharacteristic root, 特征根
* M9 M' ~$ M! V6 RCharacteristic vector, 特征向量
& z0 D$ b- E# n! D g, r$ lChebshev criterion of fit, 拟合的切比雪夫准则! X& c$ L, M, U' V/ J" I/ \4 T
Chernoff faces, 切尔诺夫脸谱图
+ v* \$ L8 u$ s0 H4 k$ rChi-square test, 卡方检验/χ2检验
( G) g0 q6 ~3 s$ v' B/ N9 wCholeskey decomposition, 乔洛斯基分解
* m$ ?# c. r4 E6 W7 |6 S8 e1 c4 KCircle chart, 圆图 ; T) G5 z3 B' q) _& o
Class interval, 组距
1 ~! F4 q) x% m2 m$ r; HClass mid-value, 组中值, [* j( m$ E2 K# r; X Y4 f! ?
Class upper limit, 组上限2 o9 M1 w( B0 ^6 @: p5 v
Classified variable, 分类变量; f: d/ D0 B- ~& p: n5 c- }; [
Cluster analysis, 聚类分析5 Y3 b A* I! f) e: ~" t
Cluster sampling, 整群抽样
) D D! u% z/ {8 YCode, 代码
9 [% O. f/ r; D9 q, D6 S. x5 ICoded data, 编码数据
/ g/ h6 |% ?; k/ E: A, S7 RCoding, 编码$ M* h3 q' C+ O" k- k& _
Coefficient of contingency, 列联系数
* I8 N$ T/ z1 L1 x+ dCoefficient of determination, 决定系数
# V" e7 @. e4 u7 ]Coefficient of multiple correlation, 多重相关系数
& Q: @; a S, b! A5 P, FCoefficient of partial correlation, 偏相关系数
6 A* i3 l0 ^- {$ wCoefficient of production-moment correlation, 积差相关系数/ Z0 ^* O& Q! M! |+ s1 L0 N
Coefficient of rank correlation, 等级相关系数
8 n) I! E+ S7 U' p' o& \, H: NCoefficient of regression, 回归系数* M% W0 ~( Y( Y! ?. S* e
Coefficient of skewness, 偏度系数
7 e% v! I# a2 O* SCoefficient of variation, 变异系数
, }% x- s4 w; k: \& _Cohort study, 队列研究
' ~: s0 w; n9 M; F, fColumn, 列
: s; O* m* I2 n, {* c4 B: yColumn effect, 列效应
! j( k9 I' o$ D3 V MColumn factor, 列因素! L8 }8 W0 C+ X* l
Combination pool, 合并
7 Z" g8 K0 s4 s! [9 kCombinative table, 组合表. b% l! t$ y4 L
Common factor, 共性因子! T4 V) S" A/ }# Q) C! T9 J3 R
Common regression coefficient, 公共回归系数2 D4 u; G' I0 x
Common value, 共同值8 D. i3 e5 i" ^5 X
Common variance, 公共方差" Y; {; q4 Z. B" j. `* P
Common variation, 公共变异
- e9 O" x& x2 S; J `% YCommunality variance, 共性方差) _# i8 ~0 J3 F8 _) ^* r
Comparability, 可比性
, t% P/ }8 v/ i8 ]' [Comparison of bathes, 批比较
, V8 i4 Q$ v% o. TComparison value, 比较值
+ L5 [& _( Y }+ d4 k, \Compartment model, 分部模型; C# y6 v" q( f- ]) D2 l
Compassion, 伸缩
1 K: j+ |7 n1 \" p8 jComplement of an event, 补事件8 C* p2 K, _" |( }5 u
Complete association, 完全正相关 @" ~5 Z8 N1 V. m1 \, |& \
Complete dissociation, 完全不相关+ [" \/ _; t! |6 D9 G y
Complete statistics, 完备统计量
0 y; L# D1 o) i* k$ }1 ~- D7 @5 lCompletely randomized design, 完全随机化设计
. r/ F- u' Y& Z" I: vComposite event, 联合事件
# O# [/ c* C# w* q7 pComposite events, 复合事件8 Z) U/ a# F! ]+ h {) B: H
Concavity, 凹性 Z- e& k# c1 w# j: l" N" ~5 R
Conditional expectation, 条件期望; K% E" @6 N% a; }7 N7 c1 ?
Conditional likelihood, 条件似然/ r: U& M K: d7 z$ d3 a
Conditional probability, 条件概率
3 M+ B! [7 t2 h. FConditionally linear, 依条件线性6 V# V' T9 n0 T# S8 ^
Confidence interval, 置信区间
/ ]4 f, _! r' M( |: wConfidence limit, 置信限
! r1 t* G, \/ s, E( J0 TConfidence lower limit, 置信下限
0 R$ I7 l0 S$ b* q( a: n" mConfidence upper limit, 置信上限
2 q3 u" J6 L( OConfirmatory Factor Analysis , 验证性因子分析
$ A' H- [( ?* `/ k3 F) y) s1 VConfirmatory research, 证实性实验研究
. t* g3 p6 i4 k8 ZConfounding factor, 混杂因素
6 c# h" Q( a. A; Z1 C# N1 JConjoint, 联合分析
1 _7 M3 S M( _$ @( ]7 f$ MConsistency, 相合性. J X2 R6 p4 X
Consistency check, 一致性检验- i& [9 e) N0 X3 {2 U* l+ u
Consistent asymptotically normal estimate, 相合渐近正态估计
" A# }* L" V! [' \Consistent estimate, 相合估计; f" `0 f+ U" j/ Y y
Constrained nonlinear regression, 受约束非线性回归7 V- j+ `/ B# @5 X P3 { _
Constraint, 约束2 @; T' _ q# J+ C
Contaminated distribution, 污染分布
: x1 G' N9 x. o5 q) e' C' uContaminated Gausssian, 污染高斯分布
: h/ I1 |" |# W1 o% NContaminated normal distribution, 污染正态分布
& J8 l1 U# l2 b- _3 _Contamination, 污染) Q( W2 F, f5 }$ H( R1 | s
Contamination model, 污染模型5 [' w2 d2 j: x! Z. e' y
Contingency table, 列联表
, E; `, s5 P( m5 q4 E5 {) IContour, 边界线
& v8 t- Z& b# x( HContribution rate, 贡献率
: g1 `9 Q0 W6 B2 d3 lControl, 对照; `& P* q) O' J) T4 ]$ o7 k
Controlled experiments, 对照实验
4 `4 }( [& u8 i+ dConventional depth, 常规深度! B. q) S2 @' m% A9 b2 O" ]
Convolution, 卷积5 |! n& v2 v, K# Y6 P( H8 \
Corrected factor, 校正因子
$ ]3 ?0 X3 n" m3 u. N" y, @Corrected mean, 校正均值
; N( ?1 W# @7 @Correction coefficient, 校正系数
5 D# P9 L( ?+ V, k! VCorrectness, 正确性
# Z( u, `, R/ k/ iCorrelation coefficient, 相关系数
( M" E5 K0 P; p) j! |/ E- o# FCorrelation index, 相关指数
+ }- d' o0 q8 M c( X# sCorrespondence, 对应* F3 I4 Z4 G1 R7 o! F+ g
Counting, 计数! V0 w. I* |1 u) |, f, I
Counts, 计数/频数7 r( u. a& F; y2 w2 d, U2 H- G
Covariance, 协方差9 z1 E3 A' ]) ~; I/ ?# _; _! {4 w
Covariant, 共变
, _7 D* K% M8 P* c6 E8 {; eCox Regression, Cox回归. { Q, a4 a) T9 v; _
Criteria for fitting, 拟合准则
/ `0 |: k; O. E# C- a2 A6 sCriteria of least squares, 最小二乘准则+ K' p$ H: z) Q8 I5 C# O- }4 @
Critical ratio, 临界比) \2 x. V0 g3 @4 n) [
Critical region, 拒绝域( u1 n1 i; t8 b- w$ i: j) N8 x- X
Critical value, 临界值- u0 [6 g0 K- F8 O1 t$ P+ n8 D* \
Cross-over design, 交叉设计# ~6 O0 G2 N1 B* J
Cross-section analysis, 横断面分析4 ?% k6 ~6 y1 u( H
Cross-section survey, 横断面调查
: J: h2 ?* C3 V( L0 m4 r3 LCrosstabs , 交叉表 2 B" V0 |9 O7 B) K9 E
Cross-tabulation table, 复合表
$ G* e1 x( Y( d4 N' NCube root, 立方根# y) O) c7 _* W& b- O+ f, B1 R* ^: h# y
Cumulative distribution function, 分布函数8 S5 @5 `: S/ r- k. p6 @. [& v
Cumulative probability, 累计概率& W7 V0 {/ v% @. k5 f
Curvature, 曲率/弯曲
( k2 T* k6 `/ `. X+ NCurvature, 曲率9 c9 g% o3 j% a
Curve fit , 曲线拟和 ; \2 z( P) f- s3 G
Curve fitting, 曲线拟合0 C, ]( o8 ]+ I, R4 |$ {+ ^8 ]
Curvilinear regression, 曲线回归
& G2 o0 K Q5 l8 XCurvilinear relation, 曲线关系* V6 H. _$ Z- q) l o
Cut-and-try method, 尝试法
0 X K: G7 Z w( `% ~9 e# {( r2 oCycle, 周期
3 K: ^: [% m3 d4 y$ T: nCyclist, 周期性: M9 d3 n6 |1 U0 G4 G
D test, D检验
6 ^0 P0 h( D5 c; KData acquisition, 资料收集" w: i- n0 }1 Q- e; m9 B
Data bank, 数据库
0 X. i) K/ G" E B5 }/ uData capacity, 数据容量
% }# z" N! _( KData deficiencies, 数据缺乏
; a9 x3 P# H j+ P* ^Data handling, 数据处理7 j, ]+ i8 H8 x' M2 i' s* W
Data manipulation, 数据处理
" v7 Q* ^ F0 d# J. `* BData processing, 数据处理; b6 M: ^0 J; b# T4 ]6 T
Data reduction, 数据缩减
# D& B$ G( w" D2 Z6 e+ D$ vData set, 数据集
2 F i! x Y- O$ I0 [$ sData sources, 数据来源
6 ~) y% M- M$ g; b( @- J2 d* _3 r5 mData transformation, 数据变换
5 M2 g* f" Z2 j& O; aData validity, 数据有效性7 j! A) ~; B4 m/ }. D/ n
Data-in, 数据输入
8 l4 Q6 x( I% y. V# yData-out, 数据输出: O( T& t' P8 e- l
Dead time, 停滞期
/ ]# W/ p& X+ P8 \Degree of freedom, 自由度
+ Z" l2 Q r0 U9 Q. t1 |Degree of precision, 精密度
/ u, D; B2 V0 ^1 v5 o+ gDegree of reliability, 可靠性程度* I5 P5 ~' w* Y9 ?. Y8 Q
Degression, 递减7 ?: o7 }% b% p$ e7 y& l) u& ]
Density function, 密度函数
3 Y0 X+ Z2 W3 f7 M' B; HDensity of data points, 数据点的密度
) v- {/ L# s8 V2 _7 O; } Z+ O: jDependent variable, 应变量/依变量/因变量6 z1 S! b0 l/ X8 @: u& t1 l
Dependent variable, 因变量. K! J$ c8 a* B0 [
Depth, 深度
' S; G! u! C) LDerivative matrix, 导数矩阵
3 s! W3 g, J0 [2 mDerivative-free methods, 无导数方法+ Y! J. f) T$ H9 Y( ^' c& _# I
Design, 设计# U ~/ C5 e/ E
Determinacy, 确定性
# J$ [4 @3 w+ b! L$ U: I6 b+ LDeterminant, 行列式( R8 ~3 u0 \1 g2 H* R( Z
Determinant, 决定因素4 D& s$ }" b/ H0 b2 p3 Q
Deviation, 离差% ~! x- m9 Z, p! I' V
Deviation from average, 离均差
& q9 o/ ^0 i# _$ a ]/ c* {+ qDiagnostic plot, 诊断图
" `& {% Q9 K( W( S8 L; ~Dichotomous variable, 二分变量. i& ^5 g$ v0 ?4 i/ g
Differential equation, 微分方程
, Z% c/ J m( n+ WDirect standardization, 直接标准化法
' r, I/ T5 l! _7 Q" Y/ D7 HDiscrete variable, 离散型变量% ~0 c j0 I4 }6 |4 _" R& u6 h1 c
DISCRIMINANT, 判断
( c, O# }4 ^7 { H* n6 aDiscriminant analysis, 判别分析
. c) d+ A6 t1 m' k) z) y @Discriminant coefficient, 判别系数( p3 l; p: s" r$ V4 x z5 I
Discriminant function, 判别值% o1 ? |& f8 i. F9 q* |! ~3 ?
Dispersion, 散布/分散度3 E' y* p0 `' Q2 j6 y/ o3 F/ A) K
Disproportional, 不成比例的! @! l, e) b; p+ a s& f# ]% l0 [
Disproportionate sub-class numbers, 不成比例次级组含量
, H( c" A ?6 L( r. {/ v4 j$ rDistribution free, 分布无关性/免分布
* ^' n. Z6 h$ H4 _( WDistribution shape, 分布形状
& `! Z* I$ [: s& EDistribution-free method, 任意分布法
) Z9 l, r, E. ~7 ^Distributive laws, 分配律$ M; j/ B2 O7 Y$ m- X, A
Disturbance, 随机扰动项+ P, p/ l' q, [( B5 ~) L
Dose response curve, 剂量反应曲线1 f( t4 u& D; Y# d/ e
Double blind method, 双盲法, R5 P8 e' ?' I( Q
Double blind trial, 双盲试验
$ E0 L2 B. x; I; q/ S/ ~Double exponential distribution, 双指数分布
7 A! m9 u/ f; T6 \- O, yDouble logarithmic, 双对数- J" Q. H: H. U9 _& H( A. o
Downward rank, 降秩
; E; D. s. ]0 j3 c- i- {Dual-space plot, 对偶空间图
" Y5 U$ h/ z- o8 v `DUD, 无导数方法
8 _) D5 [8 X7 `1 lDuncan's new multiple range method, 新复极差法/Duncan新法: ^9 X9 S5 p" W. _1 B6 P5 u
Effect, 实验效应7 D0 C5 G ~+ O: c% i. E
Eigenvalue, 特征值7 x8 _" c. ^( S/ h% x
Eigenvector, 特征向量. A1 c: f! ^# }. m. O7 q4 X' |
Ellipse, 椭圆3 r4 @4 C* b/ V- L
Empirical distribution, 经验分布# q5 V6 `8 ?7 i
Empirical probability, 经验概率单位 ?6 L+ d6 T, [; \
Enumeration data, 计数资料
. V! L7 E: E3 q4 {6 o5 Z, DEqual sun-class number, 相等次级组含量
- |) W$ o" s6 b" f0 a, H( MEqually likely, 等可能
3 c( `* b0 h+ L, g# t; uEquivariance, 同变性- w; h6 D" T8 P6 e, q" z2 \
Error, 误差/错误
7 [" V. e; @* R+ mError of estimate, 估计误差
6 f7 l$ O* ?" z' KError type I, 第一类错误6 P4 N3 }3 C8 Z
Error type II, 第二类错误
/ d: ~# l: L; C3 BEstimand, 被估量
! h5 p: s H5 _ ^4 ?, T' QEstimated error mean squares, 估计误差均方
9 D/ O. X- T" @ V! LEstimated error sum of squares, 估计误差平方和
# x; b* [3 A r3 z4 N; | fEuclidean distance, 欧式距离
: o8 l# A* S# f1 ^' B" l: GEvent, 事件' j% y$ |+ |2 {9 ~' N6 d) f2 N) M+ N4 l
Event, 事件. ]# a" a5 N: _) v, i3 w
Exceptional data point, 异常数据点* o; A, g) J1 ]5 J' s* s
Expectation plane, 期望平面- _5 T3 k$ ~& b5 j( K
Expectation surface, 期望曲面0 t- v( z1 Z7 b& S1 m
Expected values, 期望值
4 U7 }: Y! p6 m3 J o N2 ~9 FExperiment, 实验6 ?0 j. E4 ?, c' }/ D- m
Experimental sampling, 试验抽样$ c# V! S' r7 E* }1 V I. f
Experimental unit, 试验单位: w i- b" K9 k/ s
Explanatory variable, 说明变量' ^& f2 n* V9 i* k' j5 w7 q4 ~
Exploratory data analysis, 探索性数据分析
) F$ [/ \3 K: uExplore Summarize, 探索-摘要
: E3 w/ _1 z2 D7 U5 ]Exponential curve, 指数曲线
7 Y- }) f6 Z+ ^6 M' c- ^( S" jExponential growth, 指数式增长
8 K A+ `6 q8 YEXSMOOTH, 指数平滑方法
, U( R5 R( E. g" q aExtended fit, 扩充拟合
; k8 H" R. w: y) U* JExtra parameter, 附加参数+ }! M- A" m/ P1 l( P
Extrapolation, 外推法& h. H3 S2 p1 l( u5 d8 J
Extreme observation, 末端观测值4 I4 q5 M; v/ l; f# H
Extremes, 极端值/极值5 x/ [4 D& _$ ?! q
F distribution, F分布
0 o- i* _5 } |7 B, W R" CF test, F检验
; A6 p8 V1 J/ S @& WFactor, 因素/因子
# r% P& I5 S @- S+ RFactor analysis, 因子分析
' h" y8 `" L& i' ]. B" T% E, tFactor Analysis, 因子分析; m' I2 B, N- C' o# m% H. I; m6 \
Factor score, 因子得分
+ G6 _6 A: ~4 ?: f3 C; H6 w1 V5 g. WFactorial, 阶乘
8 Z5 v; ?2 X: U. wFactorial design, 析因试验设计! k3 \5 Q- c% o' b B7 q
False negative, 假阴性; X" j$ A0 K S& ^
False negative error, 假阴性错误
/ P. B: ?4 g8 s7 [3 w* J- MFamily of distributions, 分布族6 }, ^5 e- g6 P, M m7 r2 I
Family of estimators, 估计量族
' {0 G: ]/ N$ _$ G" j4 B }6 j# M/ RFanning, 扇面
% k0 N6 t# e! E* D* y; p( ZFatality rate, 病死率+ B% H3 B9 `2 S& Q3 ~
Field investigation, 现场调查
% ?5 h1 p& _5 n+ @Field survey, 现场调查! q6 i$ }: G! H T4 W% ^* i9 l
Finite population, 有限总体3 F8 ]. ]. |# o5 m$ e% i
Finite-sample, 有限样本( n4 Z! W! l, D
First derivative, 一阶导数5 m: Z1 f& E1 v
First principal component, 第一主成分
# Y; D, g3 H$ ~& sFirst quartile, 第一四分位数
* a2 | S$ L; ?$ qFisher information, 费雪信息量
; q3 j0 t6 v, |* c/ G2 i1 ~) MFitted value, 拟合值
. m4 f( s8 x8 J# f/ Q8 ~Fitting a curve, 曲线拟合
" ?$ R D+ H$ z; z8 y) lFixed base, 定基
2 T( w4 u- ~9 B# PFluctuation, 随机起伏+ u1 I# d2 a1 X4 ~3 W) B4 }
Forecast, 预测
/ K+ J! Q. C- j# YFour fold table, 四格表 |4 R8 h! o" Q4 `4 n& X, f6 h
Fourth, 四分点
+ {1 H" T1 {1 K8 M4 W% r3 LFraction blow, 左侧比率( Q$ x) B. \- P# h9 l8 S. j9 J: Q
Fractional error, 相对误差
! L; A" e$ o1 p: J/ N! j+ x8 S: lFrequency, 频率
& T! c4 P5 r. h$ W8 L% gFrequency polygon, 频数多边图1 |0 c/ o8 s. m
Frontier point, 界限点
' |! r2 D9 N+ q3 _; {+ f2 cFunction relationship, 泛函关系( \4 }: p' |7 A
Gamma distribution, 伽玛分布* \5 y. }7 t# b( p
Gauss increment, 高斯增量
! N+ N" b+ Z( |6 a3 }$ A0 LGaussian distribution, 高斯分布/正态分布
8 m5 w- X6 t: K/ G( ?/ zGauss-Newton increment, 高斯-牛顿增量
7 Y. d+ U! O$ T' A+ \; \/ lGeneral census, 全面普查* Y( |' S& n E6 K, v/ ^6 F
GENLOG (Generalized liner models), 广义线性模型 " i2 W1 U7 v* U, u. L f: [! c1 z
Geometric mean, 几何平均数8 a! D0 a4 Z0 X1 \' I8 c
Gini's mean difference, 基尼均差
% Q. Q. @7 R4 N9 @; kGLM (General liner models), 一般线性模型
+ H7 c& z9 Z3 [1 z0 E+ E WGoodness of fit, 拟和优度/配合度8 f4 @0 S; N# ]
Gradient of determinant, 行列式的梯度( e; S& P! |0 f3 \2 O7 J$ z
Graeco-Latin square, 希腊拉丁方7 D' _" l5 V: p. a/ ~3 I
Grand mean, 总均值/ b7 a2 Q. W" S$ g% U2 D
Gross errors, 重大错误* Q. ^) g, r$ h0 z8 p
Gross-error sensitivity, 大错敏感度
' h) B j) q5 c$ L6 _& hGroup averages, 分组平均
" p6 L& C- y1 \9 Q" hGrouped data, 分组资料6 X6 p7 s6 Y/ P+ b p& q
Guessed mean, 假定平均数- M" N: k. A" p; Y
Half-life, 半衰期3 L/ a, ?: L% f
Hampel M-estimators, 汉佩尔M估计量
( j' C* x6 t( K) l; M6 M6 f8 tHappenstance, 偶然事件
# r1 c# |, }6 e) p9 B; \4 ~9 t2 qHarmonic mean, 调和均数; ]$ y5 b5 `$ v$ U1 z {3 o+ B1 M
Hazard function, 风险均数* W. [- c: R3 [2 O2 z
Hazard rate, 风险率
. E+ T! r. b! G4 g! M6 X$ K# AHeading, 标目
0 b8 i0 x% A9 O5 k# y; vHeavy-tailed distribution, 重尾分布$ x. U F2 J8 |+ n
Hessian array, 海森立体阵
" C& N, m& K, w' P' W5 m% MHeterogeneity, 不同质
' H+ s# V5 P3 c/ s* m! _8 T3 RHeterogeneity of variance, 方差不齐
; J' x( @& ?; K) PHierarchical classification, 组内分组
( J% @. k5 N' _Hierarchical clustering method, 系统聚类法
, f+ u) q) [* c* o! Q4 U) q9 ~. H' \High-leverage point, 高杠杆率点
0 ?; @# C8 V2 K) n9 pHILOGLINEAR, 多维列联表的层次对数线性模型
1 S2 H5 o# _; g- B+ u( w$ fHinge, 折叶点
* w! H2 @0 F' s) b! w) gHistogram, 直方图3 q0 Q x1 R) f7 T; t
Historical cohort study, 历史性队列研究 5 D0 A0 R4 A4 S+ n+ T1 h
Holes, 空洞" }. A4 S3 ?! K' K
HOMALS, 多重响应分析. H3 G$ V {# d& R/ ]; Y7 X
Homogeneity of variance, 方差齐性- ^# y8 L# S/ }% g) W0 B. z
Homogeneity test, 齐性检验7 Z* {3 o1 ?+ i: k: p, ]: l- L1 g
Huber M-estimators, 休伯M估计量0 m: v4 g' F* f3 q% A _
Hyperbola, 双曲线- A! k3 y) ~" `1 X8 q" s
Hypothesis testing, 假设检验
, f' H) R' j9 {Hypothetical universe, 假设总体
: t' U% G" n. x# i" w1 L7 e# AImpossible event, 不可能事件
& B3 [2 |" O9 w& y$ O/ \Independence, 独立性
) G4 c8 |; n' V- s3 qIndependent variable, 自变量
: g5 q4 |( J i4 J) LIndex, 指标/指数
6 ~4 S6 Y; ?5 F. kIndirect standardization, 间接标准化法- o9 C9 |2 A/ n& H% m
Individual, 个体
6 Q8 D8 u( e9 E5 a1 ^# ^% j! Y1 UInference band, 推断带
5 B6 T. p/ Z* Q3 ~9 tInfinite population, 无限总体
) c) M4 k6 I* _( ]4 H$ |1 cInfinitely great, 无穷大
7 I* g9 D$ `, z! h$ `Infinitely small, 无穷小+ G8 r6 z& s% \- i* f& ~8 ?
Influence curve, 影响曲线
- y7 w0 w8 }9 j1 e) c; GInformation capacity, 信息容量
/ @% T% ~7 k: u$ |Initial condition, 初始条件
9 G" C6 `- p3 H* G7 s. H. yInitial estimate, 初始估计值
4 k+ N, B* d0 MInitial level, 最初水平3 K# F! ]* E, f5 ]1 |
Interaction, 交互作用3 h. o. V! V& O. B
Interaction terms, 交互作用项3 y) {, ?* @2 G+ n
Intercept, 截距5 A6 ?6 p) r) g
Interpolation, 内插法
0 k0 L. f D7 c% \3 ^Interquartile range, 四分位距
7 C6 x1 y! N( p' G7 F3 i7 lInterval estimation, 区间估计# `$ l6 M8 @ D
Intervals of equal probability, 等概率区间
! {& W% S" |/ v# H; D. A; ^, ]- wIntrinsic curvature, 固有曲率
5 a( ^& k) x8 B+ b6 \' j% hInvariance, 不变性
$ t% C$ J) v5 ]& cInverse matrix, 逆矩阵2 y7 a9 r2 x1 B4 O
Inverse probability, 逆概率, a) L8 n7 L( i) o& G2 x
Inverse sine transformation, 反正弦变换
; b, a% K7 m1 `! aIteration, 迭代
# P1 M+ x+ m% r) X+ mJacobian determinant, 雅可比行列式4 O7 ?$ E4 |4 k+ f& I
Joint distribution function, 分布函数
' ~0 ~ r. X5 s- W/ xJoint probability, 联合概率
" v3 N) F0 C6 v' UJoint probability distribution, 联合概率分布
7 |/ ~7 v" b3 q/ f* zK means method, 逐步聚类法! D' w! L0 T1 O0 ?! @
Kaplan-Meier, 评估事件的时间长度 G2 j6 Y" o+ ]5 h
Kaplan-Merier chart, Kaplan-Merier图
! u% Y. W% `2 j5 YKendall's rank correlation, Kendall等级相关' g4 K7 y2 ?. d* P% ^
Kinetic, 动力学 ]" c2 E X8 ~" [7 v& L
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
) N+ c" ]- U3 s7 J+ MKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
5 N, y# T; m0 _6 f8 s) pKurtosis, 峰度
# T" o) N/ e8 uLack of fit, 失拟1 l" G, R0 t4 V- F; U* t; Z- \
Ladder of powers, 幂阶梯. X8 v, `& o2 z& J" L1 T0 q1 H. l
Lag, 滞后4 J2 |$ I9 Q% i- S; g7 s
Large sample, 大样本
* p. |; d, T" N' ILarge sample test, 大样本检验& p' R6 R, x$ A) a" B8 j% E% d
Latin square, 拉丁方+ K- x4 I9 L5 n Z# F3 j. j2 v
Latin square design, 拉丁方设计
' E4 U4 O9 p u' n3 _ m4 g) XLeakage, 泄漏
# g9 f$ v& v; {Least favorable configuration, 最不利构形5 d7 i1 g+ B& v9 K: ~$ b5 _
Least favorable distribution, 最不利分布
5 P1 D: X% Z b. G: f0 ALeast significant difference, 最小显著差法( m& m7 E; |7 b2 A' f Y( u
Least square method, 最小二乘法$ w- s7 u& ^; x; h& i1 l
Least-absolute-residuals estimates, 最小绝对残差估计
4 i/ \% Q) T6 ]% i% `6 A8 WLeast-absolute-residuals fit, 最小绝对残差拟合2 Z) x- E2 p, l; j3 W/ q7 c
Least-absolute-residuals line, 最小绝对残差线$ Q: R4 {: _7 \
Legend, 图例
/ S1 u! ^: o' @L-estimator, L估计量- P6 {+ ^' e( ?" N
L-estimator of location, 位置L估计量
% ~2 e1 z! l* \. @$ T {( fL-estimator of scale, 尺度L估计量2 x- {% {8 e5 H% U" L
Level, 水平3 L6 E! }9 n6 e9 o8 n
Life expectance, 预期期望寿命6 `) s3 w3 l* ?
Life table, 寿命表
) ?0 O4 r. H) zLife table method, 生命表法
2 N3 e A$ @3 G; ULight-tailed distribution, 轻尾分布! {' }: X; A6 r$ N# P6 U/ ^3 z
Likelihood function, 似然函数* W) u- ~" N& q, b9 v
Likelihood ratio, 似然比5 N6 z6 Q [5 ~( M7 j$ O& I
line graph, 线图8 p0 V' t, g" v! |
Linear correlation, 直线相关
% V3 z. k% X! D, B, YLinear equation, 线性方程/ }5 [* z! V$ I; w- b; z6 e, x @
Linear programming, 线性规划 {3 X* K; C% N* m# A& d
Linear regression, 直线回归
: }# [5 e" X5 ?$ \# n5 J6 [+ ALinear Regression, 线性回归
. U8 p6 `* L* O. ?! NLinear trend, 线性趋势
; X0 u, }3 y" d/ X5 l# w( F& sLoading, 载荷
6 s Z% P" q n6 ]( q; @# V% wLocation and scale equivariance, 位置尺度同变性& r8 O9 u+ f$ b% i# g
Location equivariance, 位置同变性3 I" l6 M1 G3 b
Location invariance, 位置不变性
6 M% }2 g2 Z) kLocation scale family, 位置尺度族
6 n4 K% y1 E8 N! M# NLog rank test, 时序检验 8 u: M" C0 f( F6 b9 H6 g
Logarithmic curve, 对数曲线) b) S5 g8 N- A3 W% |% `
Logarithmic normal distribution, 对数正态分布7 z$ f5 ^+ k; e+ \& k& Q
Logarithmic scale, 对数尺度' v6 q& b& H& J
Logarithmic transformation, 对数变换* @% ^$ _5 u% x# X1 u) Q9 U9 ~/ x; q
Logic check, 逻辑检查7 U4 q& D$ u; h* A
Logistic distribution, 逻辑斯特分布
% ~& [$ a; @0 [6 g# qLogit transformation, Logit转换1 c1 r; m* z. }9 h# l8 p7 Z1 M
LOGLINEAR, 多维列联表通用模型
' M. @. X* F& \; U* x! B# ALognormal distribution, 对数正态分布
2 x" ]$ Q! j4 J: Y/ DLost function, 损失函数3 m; m7 j) N4 Y2 Y- h G
Low correlation, 低度相关2 d8 t! c( V4 y! o; |% Z
Lower limit, 下限
" g2 t {( `; v+ V# \9 Y- R0 J* GLowest-attained variance, 最小可达方差 m- R4 D1 g O# m
LSD, 最小显著差法的简称
3 e. M& m* ]/ w& yLurking variable, 潜在变量
( j7 E* d' m; a3 ]: J2 R. pMain effect, 主效应: t; q$ ?" i( k- d3 [1 q3 B6 y/ U' q+ q
Major heading, 主辞标目
9 [$ m& R+ _! @, V( b! RMarginal density function, 边缘密度函数8 n% i& \: o1 l3 H8 N
Marginal probability, 边缘概率# }+ m" Y, _# f& J! c. z3 y: c
Marginal probability distribution, 边缘概率分布
) E' V# ]% F4 \' y, XMatched data, 配对资料
7 H( V( j0 o( C7 FMatched distribution, 匹配过分布& F0 @7 q+ ]+ Z& H9 d; V5 R6 W: M
Matching of distribution, 分布的匹配( r- t) o+ c& b
Matching of transformation, 变换的匹配
4 a; @% j5 X, bMathematical expectation, 数学期望7 k: l0 k, [6 V/ f2 @: @# F
Mathematical model, 数学模型
?$ i7 c$ I' S2 w+ a7 l% z* ~% TMaximum L-estimator, 极大极小L 估计量
+ }! e% E6 M" ~7 oMaximum likelihood method, 最大似然法, ~0 l/ n+ [9 M
Mean, 均数
6 E; c7 w X4 Y L9 G9 G! w V1 @Mean squares between groups, 组间均方+ O) g& g- y- T6 C7 z
Mean squares within group, 组内均方
6 @$ Q" w: X* G$ }- x6 bMeans (Compare means), 均值-均值比较
% U2 N4 B' B7 v- f! B* YMedian, 中位数
6 c$ a8 V ]( S0 `8 Z* Y1 p2 B' MMedian effective dose, 半数效量3 F" s" |! c& g7 ^
Median lethal dose, 半数致死量
7 _; B3 s# J& v J; }& c8 A- v0 H( oMedian polish, 中位数平滑! `" e: w$ \; b1 d/ v! ^5 i
Median test, 中位数检验) D5 h! U1 C/ O/ O! }% V& {! g! Z
Minimal sufficient statistic, 最小充分统计量
( {1 b' F2 ]) d' m KMinimum distance estimation, 最小距离估计
1 k; V2 t- W! X) u7 JMinimum effective dose, 最小有效量* D( L6 e/ K+ V4 Y. {! y5 O0 w
Minimum lethal dose, 最小致死量
0 {# o& _2 ]8 o0 V& ^+ XMinimum variance estimator, 最小方差估计量) _: z% n K3 v
MINITAB, 统计软件包
' r$ r( f8 c8 y2 D3 [( X9 _Minor heading, 宾词标目
2 @, I+ h1 Y* lMissing data, 缺失值
$ M q" h; o( i% r' ]7 ] ]Model specification, 模型的确定; u5 s! Z0 f- Q0 o
Modeling Statistics , 模型统计$ p. ?/ e7 j \
Models for outliers, 离群值模型) K2 u4 t. ~3 p
Modifying the model, 模型的修正
' C- S1 b: b3 ? b# tModulus of continuity, 连续性模$ h8 Y( l1 u1 i* B; [& \
Morbidity, 发病率
4 g- o O$ P D; e' \; X) OMost favorable configuration, 最有利构形0 F: V2 V( K I4 H
Multidimensional Scaling (ASCAL), 多维尺度/多维标度) ]3 m' B+ G+ m; c2 w
Multinomial Logistic Regression , 多项逻辑斯蒂回归
# [; @ h; r9 {" l4 m1 R' SMultiple comparison, 多重比较
4 l8 l, j7 x/ c# e4 u' wMultiple correlation , 复相关
( l) N% n" H7 @2 P, vMultiple covariance, 多元协方差$ U8 I/ d( h, W+ N: F0 j( J- r9 ~
Multiple linear regression, 多元线性回归0 b: o/ g0 f. A
Multiple response , 多重选项% ?$ F& h9 E+ S u* v
Multiple solutions, 多解
7 z2 j0 u+ r/ Z$ X/ ]- s: t* _Multiplication theorem, 乘法定理
' W u% a% z8 `. W# PMultiresponse, 多元响应1 ^' F' k, n v
Multi-stage sampling, 多阶段抽样
& R( w# l, K; y6 [: eMultivariate T distribution, 多元T分布
% y! q. m3 z7 x J/ I |* xMutual exclusive, 互不相容( \& L; m- l$ D5 ~
Mutual independence, 互相独立
5 L/ b8 c6 E) HNatural boundary, 自然边界( {. e6 W! ^$ L1 k- x2 o9 j
Natural dead, 自然死亡
9 h+ b* n+ n# xNatural zero, 自然零
; a" a7 O- S+ G4 ?$ N% w$ QNegative correlation, 负相关
" C6 Y; G6 ^1 t! P" D1 U: ?Negative linear correlation, 负线性相关) W& p" C; ^% B" \4 W( N- R4 d
Negatively skewed, 负偏! O( L- z+ U, h# d/ X* R3 a
Newman-Keuls method, q检验
8 R, a. _6 g. G& o4 ^NK method, q检验
2 K: N) g' x3 P; ]No statistical significance, 无统计意义3 z, u8 E$ X! s5 d
Nominal variable, 名义变量3 P3 x2 Z& M1 R& E3 G- I3 _
Nonconstancy of variability, 变异的非定常性1 k U$ W" S$ c3 p
Nonlinear regression, 非线性相关
8 U) E" C' ]: O& H' r3 gNonparametric statistics, 非参数统计
2 R/ `& }- M9 x7 R9 @1 n7 BNonparametric test, 非参数检验
5 P I. e4 m2 s3 F3 U \. mNonparametric tests, 非参数检验
m. ] I& Y) S5 g, @4 X/ DNormal deviate, 正态离差0 |0 J, r: e7 g4 o6 v7 h
Normal distribution, 正态分布
4 j9 u( v( R+ L4 Q7 E0 ENormal equation, 正规方程组
$ j, \, ]# C% a* \Normal ranges, 正常范围( X$ E B- b0 w% s/ z" n0 G5 E
Normal value, 正常值" N, j8 L0 Q( z+ S1 k
Nuisance parameter, 多余参数/讨厌参数1 r4 K6 G7 e6 H' a, N! d9 i3 c
Null hypothesis, 无效假设 / U: a6 B. x, u& E, r$ p2 Z/ r" l! g
Numerical variable, 数值变量
1 x3 a2 y# f8 L# zObjective function, 目标函数
3 l4 O- J9 T. E6 N$ lObservation unit, 观察单位; r. b* Q" V" Z
Observed value, 观察值
' u0 T) `+ W3 y7 N7 y& UOne sided test, 单侧检验
. \0 Y4 B& v( G( ZOne-way analysis of variance, 单因素方差分析; j: j5 m: F' n) D! x( D5 n4 w
Oneway ANOVA , 单因素方差分析
3 F1 T0 d6 D t# g2 m/ [/ j/ vOpen sequential trial, 开放型序贯设计
* @& ^7 X0 v+ s) Z9 qOptrim, 优切尾. ~5 i5 }3 X5 c7 h5 Y
Optrim efficiency, 优切尾效率) n9 j# P! C& S' j5 k" j
Order statistics, 顺序统计量
" ^' j( M1 i* C Y- sOrdered categories, 有序分类
}9 K; p5 J% x6 E4 |Ordinal logistic regression , 序数逻辑斯蒂回归
# ~ H% K- f4 S1 e% `Ordinal variable, 有序变量
5 S( w/ {1 C+ q% b+ ^2 pOrthogonal basis, 正交基
$ g- h% F: [" w" }2 W1 Y. AOrthogonal design, 正交试验设计% d+ R( |* p1 r8 W3 z
Orthogonality conditions, 正交条件
( @0 F8 n- Y3 t" W* e: V6 j% ]ORTHOPLAN, 正交设计 0 w5 z. k( b" {9 ]& ^$ w4 H- v& ?
Outlier cutoffs, 离群值截断点9 L- N8 J+ t; m8 r
Outliers, 极端值
/ O8 y! j0 h3 R4 P+ n& H) oOVERALS , 多组变量的非线性正规相关
" `4 W+ Q" s* P- \Overshoot, 迭代过度
1 M! |$ q- D) ~/ ^4 QPaired design, 配对设计6 m- s' l9 H7 f7 X2 k& l
Paired sample, 配对样本
. k1 }3 q0 V1 I/ ~/ O, u3 F, z U" X0 BPairwise slopes, 成对斜率
0 E5 y1 P% i8 A7 n8 L. ^Parabola, 抛物线2 m. M& m0 p3 N% _& F( m6 _
Parallel tests, 平行试验 R. e! v$ ~: P+ i0 Y
Parameter, 参数; v/ X- r7 k: k+ }* L- r
Parametric statistics, 参数统计" B3 X" P! p4 i
Parametric test, 参数检验' Q) Y/ T5 j, n/ _* c0 {
Partial correlation, 偏相关
3 N) T5 {" T0 s, T# q7 R4 y$ fPartial regression, 偏回归# W% H- h1 u- d/ I. `' Y
Partial sorting, 偏排序$ M6 I* a* u. q$ |
Partials residuals, 偏残差- J; M0 D' @* v. w _1 a, C: \1 [4 h
Pattern, 模式, h( x! T" p4 s& V: B# [4 \. v
Pearson curves, 皮尔逊曲线
! v# x* r, M0 ?4 }0 [Peeling, 退层
- u# U2 ]6 Q, a" H9 v; d' cPercent bar graph, 百分条形图( n4 ?& s; d4 P+ n) a
Percentage, 百分比
# Y( }7 k5 ~4 nPercentile, 百分位数5 C$ g3 _% L' O, E
Percentile curves, 百分位曲线$ F; j7 H8 r% j; J7 n, \
Periodicity, 周期性
, a& A: A% a! v2 ~: k3 l# QPermutation, 排列# V; D& |: m& u4 x5 N Z% }8 ]
P-estimator, P估计量
/ z F0 g1 f/ M8 c2 tPie graph, 饼图
' i. M' Q) {% g8 B5 X! d0 n7 ^Pitman estimator, 皮特曼估计量
- R8 e8 K3 G2 {+ @9 HPivot, 枢轴量- M9 L" o6 `) S, i9 e, e/ U
Planar, 平坦
2 P- I4 I* `/ a8 `* Z7 O9 E' J8 @Planar assumption, 平面的假设& t$ T6 \# V! c! s Q, z) I
PLANCARDS, 生成试验的计划卡
, P& z& J1 H7 \4 |, zPoint estimation, 点估计% r# X/ N6 S# q# x8 l, X: r$ [
Poisson distribution, 泊松分布6 L' F/ g. A8 _' O* P2 s P
Polishing, 平滑 N3 z3 n7 T3 f9 n
Polled standard deviation, 合并标准差: V9 r5 ]; v" _2 B. U- e9 Y
Polled variance, 合并方差, o; M) M+ K% N& T! Q, S3 A0 a
Polygon, 多边图
/ _# ~( @+ `$ J' QPolynomial, 多项式
" A; W& B# d8 q l% A: R0 YPolynomial curve, 多项式曲线) t( y/ s- Y/ u2 R/ J/ O6 ~9 K
Population, 总体4 X8 ]$ C- S+ [) {& p6 v0 `
Population attributable risk, 人群归因危险度/ Q/ Z- P8 ]2 n' j7 x: m
Positive correlation, 正相关
* M% e6 F5 A" I8 j: h0 i2 c+ n0 n+ jPositively skewed, 正偏9 Q. S- z9 \& W3 W% x
Posterior distribution, 后验分布
8 J2 m: U: R* B {/ ]! pPower of a test, 检验效能0 c* t' A% n# L% D
Precision, 精密度
9 e* {* `8 Y9 c! g+ l5 }* w5 `Predicted value, 预测值
6 D; K; \8 J T* xPreliminary analysis, 预备性分析 P9 J1 O9 F0 ^( {& b
Principal component analysis, 主成分分析
# f# ]+ O/ n' a7 ZPrior distribution, 先验分布
" k6 G' S% q7 E% J3 n* bPrior probability, 先验概率
7 j4 H( Y, x$ M4 i2 rProbabilistic model, 概率模型! x# W: [3 x8 I: K
probability, 概率/ c1 W* u0 D; s6 o
Probability density, 概率密度7 Z6 k O2 T; S$ L1 t
Product moment, 乘积矩/协方差
% M% C3 H9 H0 k8 M% q; _( ?Profile trace, 截面迹图% V3 }% p( {; e5 J
Proportion, 比/构成比1 H2 I. F( H+ p Y" S
Proportion allocation in stratified random sampling, 按比例分层随机抽样
# t4 |; F: j& g9 `4 ^ b1 V1 fProportionate, 成比例
" k$ h! b. V! g& RProportionate sub-class numbers, 成比例次级组含量
( {: U0 `2 ?6 f* n- ZProspective study, 前瞻性调查3 ^. S2 t) l) z' G: W
Proximities, 亲近性
, H$ `% `, Y8 w' V* WPseudo F test, 近似F检验
/ T Q, A* I" UPseudo model, 近似模型; g+ A3 b! m3 j0 B% h( \) a) A
Pseudosigma, 伪标准差4 I/ b9 b0 v( f( [
Purposive sampling, 有目的抽样" B# P6 ~, F, u& e4 `2 R$ e
QR decomposition, QR分解
% n# ?+ P; q" A: A' s+ x4 o9 XQuadratic approximation, 二次近似+ s! T6 Y% F' f) P! |/ J/ l4 K
Qualitative classification, 属性分类) k/ X2 H) l+ B, S
Qualitative method, 定性方法) q: ?! S: j3 K3 A
Quantile-quantile plot, 分位数-分位数图/Q-Q图) e0 [, |8 D* b
Quantitative analysis, 定量分析) s c4 A& H" W) T
Quartile, 四分位数/ e' x* R- |! U
Quick Cluster, 快速聚类
# A, j% {( s7 BRadix sort, 基数排序
( i- j2 c6 y& [( k, _; d' ~Random allocation, 随机化分组; e& I" K$ [& ^9 b
Random blocks design, 随机区组设计! b+ e) {3 ~( o7 }2 ?! K8 p
Random event, 随机事件
' m9 e7 ]. B8 gRandomization, 随机化
# S( b2 J D6 L0 [; g1 zRange, 极差/全距
' c5 J+ n9 _, FRank correlation, 等级相关+ _8 o8 P5 w3 c, F* c
Rank sum test, 秩和检验
7 M, b7 I" a1 G# j0 ?. T" u# lRank test, 秩检验
7 _% k5 A8 M! TRanked data, 等级资料- h) p% M9 ]' j/ i4 X. ?
Rate, 比率* L4 Z& p1 E% A: B$ |
Ratio, 比例
( p1 g3 i8 R8 p* O, I. I! a# wRaw data, 原始资料- Z* m; Q, c/ P; a8 `5 Z
Raw residual, 原始残差
) C; b) t. e/ ^3 QRayleigh's test, 雷氏检验
1 ]) v5 R! P2 C. Y( I, e2 l( KRayleigh's Z, 雷氏Z值
6 `& e* }. X T' q( Y- o# dReciprocal, 倒数
' S& b8 W2 f( x R9 e- a1 R% M* ?2 ZReciprocal transformation, 倒数变换% S7 N: f. M4 @) O& r
Recording, 记录
6 T# L: q" C) Y# l# R. t2 DRedescending estimators, 回降估计量
! c) Y& q" Y4 {Reducing dimensions, 降维( g+ X* m' k& I! i
Re-expression, 重新表达8 U0 b) F3 }* h: G8 k2 K9 d- H
Reference set, 标准组0 Z* U6 Y0 ?9 G3 W$ M
Region of acceptance, 接受域
8 T, p% v' x) FRegression coefficient, 回归系数; N' c. H) b8 V
Regression sum of square, 回归平方和
- }3 c3 v: c- URejection point, 拒绝点
1 N1 V: f* c: U/ lRelative dispersion, 相对离散度9 a0 w. K4 H, L' e2 o& x& e
Relative number, 相对数
) d* Y$ e" a' ~% tReliability, 可靠性
2 W e& M/ `4 uReparametrization, 重新设置参数* W" E [! W0 w J8 m' B9 U7 n, z
Replication, 重复3 N% s8 ?! ]) ?8 w1 B
Report Summaries, 报告摘要2 L6 c' z5 b) o! p1 h, {4 T1 ?
Residual sum of square, 剩余平方和( s- Z5 Q: y) q- n
Resistance, 耐抗性
; O- s' ]) X! e( N! TResistant line, 耐抗线
" S' i. }* t* q [' DResistant technique, 耐抗技术( B7 Y' F% S1 b( @/ ]2 p
R-estimator of location, 位置R估计量
# q8 y, `7 s1 {, Z# JR-estimator of scale, 尺度R估计量
: v- j' X% L7 t8 E8 wRetrospective study, 回顾性调查- ]/ t3 @. n& k; Q* n
Ridge trace, 岭迹# }' I# A. E* S0 m2 v
Ridit analysis, Ridit分析
6 h- r2 c( y4 f+ c7 _$ f. ERotation, 旋转3 v! K% K! p+ A- ?# b
Rounding, 舍入
* |% T$ _1 d6 L q6 g2 zRow, 行
8 r5 F9 J) W8 k, ^Row effects, 行效应# z+ y( x/ Y6 j
Row factor, 行因素
* h2 `* q5 f5 M2 } DRXC table, RXC表( T1 V3 `9 _; v& A
Sample, 样本
- i4 Y0 J4 ?% {3 XSample regression coefficient, 样本回归系数; X5 m! {9 ~& P; e$ l6 N) ^/ i3 {
Sample size, 样本量$ d! R8 d4 D1 c' ]9 l0 x* P
Sample standard deviation, 样本标准差
+ |0 {- ?1 }, N4 d) g# I) \Sampling error, 抽样误差
0 s3 b7 K8 I p* z, o* Y' Z( W6 P5 [SAS(Statistical analysis system ), SAS统计软件包
& B7 I2 j! c" ?7 A, j W; i" _) y/ WScale, 尺度/量表" H1 u8 y4 t _
Scatter diagram, 散点图
' _) j6 A" R( X) |Schematic plot, 示意图/简图
7 ^$ d' s- T: g v4 fScore test, 计分检验8 X4 t, q9 Q, P8 y* A$ D i, L* ?) M) {
Screening, 筛检
; I5 X, u: z, U8 rSEASON, 季节分析 $ U( i9 I1 d: D/ h# T
Second derivative, 二阶导数3 ^! A8 q9 ?) }' t" R% ^4 a
Second principal component, 第二主成分, c( W( j% W/ g' M% l
SEM (Structural equation modeling), 结构化方程模型
2 @7 Z2 \7 t. t( y; }Semi-logarithmic graph, 半对数图
8 ^6 B t- S5 v9 ~Semi-logarithmic paper, 半对数格纸
& x- A& _. ^" u8 R! x: i3 USensitivity curve, 敏感度曲线
" g) o& A2 L! Z7 T( `Sequential analysis, 贯序分析
0 X8 R v/ h; w. _Sequential data set, 顺序数据集7 J5 E& C. v- D- ]6 `+ Y
Sequential design, 贯序设计& \! z9 I" ^) `' ^
Sequential method, 贯序法
# W% K1 a+ |7 \ o! \Sequential test, 贯序检验法
7 m B- B3 _+ }+ cSerial tests, 系列试验& G! e! k1 i3 F5 F1 r* G9 W: u# ^
Short-cut method, 简捷法
" L$ H1 V" B* [% P, ~: n$ GSigmoid curve, S形曲线
2 l$ a8 `5 a8 A( ^3 QSign function, 正负号函数
* G* K% t( z$ x# {Sign test, 符号检验
8 t0 @5 }+ s0 USigned rank, 符号秩
( _* [& q( g! f8 L- @! fSignificance test, 显著性检验
4 C& ?$ [; Z4 }, W5 z" K" }! C6 l* mSignificant figure, 有效数字' a5 x/ E" Z' R- X. E) G
Simple cluster sampling, 简单整群抽样# F A2 r! c1 F; `5 o0 h
Simple correlation, 简单相关/ |8 m: L4 V1 u; j0 e! \
Simple random sampling, 简单随机抽样
' f- p% D" a3 @Simple regression, 简单回归
- L8 Z4 V8 l* ^& w' O% ssimple table, 简单表5 N* H# a7 V# J Z8 K
Sine estimator, 正弦估计量, u9 n% ^+ F) k3 q
Single-valued estimate, 单值估计+ ^6 O" i: }* l$ f: j: K$ y
Singular matrix, 奇异矩阵
) R+ T4 |) x( ?5 GSkewed distribution, 偏斜分布
1 L- ]5 a4 Q* h7 @7 \7 gSkewness, 偏度. i v2 {- i+ U6 F
Slash distribution, 斜线分布: K6 n! r' O. m9 n; T2 f+ }
Slope, 斜率
* f3 L7 q) g6 p/ q* F* R+ L }% oSmirnov test, 斯米尔诺夫检验. k( w1 E: A1 u& A) Y
Source of variation, 变异来源4 V, b: Q1 N; ~7 {5 a2 X; Y
Spearman rank correlation, 斯皮尔曼等级相关, q' b' g7 E3 s9 w: k# ]! A+ J6 R
Specific factor, 特殊因子
7 O$ P; G. u( o' ]3 hSpecific factor variance, 特殊因子方差. m& O1 b* @( \9 f
Spectra , 频谱% D5 h. u- @, p# h2 h1 Q5 C1 ]
Spherical distribution, 球型正态分布
. M; s3 L6 J3 `' u6 W) v9 N9 ]! ^( _! D, cSpread, 展布
1 z- S7 a5 _/ x$ H9 _/ w) ASPSS(Statistical package for the social science), SPSS统计软件包
: G' L2 V: x! |Spurious correlation, 假性相关$ p( o+ G5 }2 D! A1 s e* z
Square root transformation, 平方根变换* M" b& ~( J0 m: D1 m/ n' _
Stabilizing variance, 稳定方差
& ?2 a7 k4 g+ n4 e- V% q! BStandard deviation, 标准差# k X# P- H0 {5 }, e# K
Standard error, 标准误
7 i9 B! Y- t0 ZStandard error of difference, 差别的标准误6 j( E( S. r0 q- T
Standard error of estimate, 标准估计误差
) g9 }7 d, Z- n8 @4 r1 ?! s9 |Standard error of rate, 率的标准误
5 W) L5 u7 }7 wStandard normal distribution, 标准正态分布4 j: R F- B# K3 r
Standardization, 标准化
8 b, F- O. T( l/ `7 w( s* x( F3 YStarting value, 起始值
: ]! ?' y( M, H) y% G5 ]8 A) \8 X! UStatistic, 统计量2 L0 Y& c9 V- i3 ~ I) x9 j
Statistical control, 统计控制9 y' b' ]9 ]. ~! V6 B
Statistical graph, 统计图
- }9 X/ f2 W7 ?1 f- YStatistical inference, 统计推断$ M' K7 u, y* }9 k6 }& K. O# X
Statistical table, 统计表
' I+ o! f& Z( A1 L( o1 i3 E& oSteepest descent, 最速下降法
0 }# Q. O: F' l- ^$ J' nStem and leaf display, 茎叶图
4 P* a! D. y6 l$ f$ c: ^Step factor, 步长因子" B6 T# w* A. S4 j
Stepwise regression, 逐步回归
7 P1 o( s( v% MStorage, 存
7 f% l' E. c' \: NStrata, 层（复数）% }9 W9 Y% z: J( V
Stratified sampling, 分层抽样1 O- i+ i; ~' }) V
Stratified sampling, 分层抽样 d; G0 {+ R# d5 o: @
Strength, 强度' Z5 ~! ]1 q" z: S
Stringency, 严密性
0 t6 @2 t# S9 c: u, j* b1 XStructural relationship, 结构关系% \ M- F9 w* @/ O9 n
Studentized residual, 学生化残差/t化残差# D6 I/ d1 C& M) I$ z
Sub-class numbers, 次级组含量+ E+ d+ E6 C6 h) p( [" L, [* M% J/ r9 u
Subdividing, 分割- j. i+ A* g) ~% J. d- L
Sufficient statistic, 充分统计量' ]3 {1 ^4 J0 C& s7 @/ Q
Sum of products, 积和
( v- ?/ h3 B/ j9 r5 C, w6 l* rSum of squares, 离差平方和
$ _- B8 L& L5 w8 h8 i! lSum of squares about regression, 回归平方和" S: |2 a0 _4 o4 @' U( G4 w2 w
Sum of squares between groups, 组间平方和/ |# ^& `; ^8 ?6 q+ U5 v: C
Sum of squares of partial regression, 偏回归平方和
- O$ O0 W+ ~7 ~2 S, fSure event, 必然事件3 X/ ^1 M' ]1 K* z$ _) v4 i
Survey, 调查, U; h- f1 L$ G8 g& e0 Z' h
Survival, 生存分析
7 g4 B( N5 C+ g1 F5 x" GSurvival rate, 生存率7 h* I3 L* ]3 V! c: m2 e
Suspended root gram, 悬吊根图
% s; E1 l% T) O0 C9 a7 @; y. NSymmetry, 对称1 W- s! o, s- [; U) X9 a, T
Systematic error, 系统误差
' |7 E0 p: W7 CSystematic sampling, 系统抽样& F! w4 G' \7 G0 g% p
Tags, 标签4 W8 n ]( O& P( R; e7 f+ J: ?
Tail area, 尾部面积! b0 k* V O) h- x
Tail length, 尾长
% K2 u- R2 M6 v; C' d% [Tail weight, 尾重
' x, v2 K- p" Q dTangent line, 切线
4 d7 q" ~) R3 s Z% ?4 _Target distribution, 目标分布; t/ u! I0 ?" _* G. J' \% M
Taylor series, 泰勒级数
" H% M# M) p5 F: K: b. M- DTendency of dispersion, 离散趋势
& h" X' K. P/ OTesting of hypotheses, 假设检验
5 k9 F6 E3 r7 S1 I) ^7 STheoretical frequency, 理论频数
' h* j3 |; b. k. w" qTime series, 时间序列, {& w0 K$ B, @* O$ _) n5 m: h
Tolerance interval, 容忍区间
4 Z% O6 R! q' KTolerance lower limit, 容忍下限; o5 i& w. E4 t3 _
Tolerance upper limit, 容忍上限
/ Z2 b2 g0 B. X8 a% Z/ \Torsion, 扰率
, {$ w- b* B7 l& A+ ]% jTotal sum of square, 总平方和7 W8 _( m }$ u4 x
Total variation, 总变异9 O) |/ I# L6 p' }& S9 n( Q% [. j
Transformation, 转换
6 J t' _$ |3 V5 L$ K; STreatment, 处理8 T _! x! e0 S( k; m- \* d
Trend, 趋势
- e& N1 F/ J: T$ MTrend of percentage, 百分比趋势& L/ y6 B' C+ g
Trial, 试验
) R2 F+ w% b3 a+ l" @Trial and error method, 试错法
$ o9 l" z x! y8 D' gTuning constant, 细调常数7 b0 ]: k/ |, P* N R' y- d) w# h
Two sided test, 双向检验* q9 P' K# J. ^- o
Two-stage least squares, 二阶最小平方
+ r1 u- k1 x: jTwo-stage sampling, 二阶段抽样9 y% }8 b2 b8 R: c
Two-tailed test, 双侧检验, E( _5 o2 a6 P
Two-way analysis of variance, 双因素方差分析+ \6 f. C. s5 U% p, f. w8 \
Two-way table, 双向表
! ?/ X7 r. {# h5 S5 D/ s+ QType I error, 一类错误/α错误
' m5 J# K2 C' _: H! U* o7 }Type II error, 二类错误/β错误
3 T3 \" F6 W; p u4 F LUMVU, 方差一致最小无偏估计简称; g% T, U* v. W3 Y C
Unbiased estimate, 无偏估计
6 p0 x, q9 ~' |9 ]3 v; k, hUnconstrained nonlinear regression , 无约束非线性回归
d( c/ f/ J( b* N6 YUnequal subclass number, 不等次级组含量; _, f* n8 m: J6 m% f
Ungrouped data, 不分组资料% D8 c% p$ e7 x3 L' ^: ^
Uniform coordinate, 均匀坐标
% F" q( b. n H- kUniform distribution, 均匀分布2 l% c$ _2 ^- a* W8 B9 c2 Z6 S
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计% W! p$ l& B/ T4 l
Unit, 单元
( K" w. x5 o4 a$ |# h$ x+ s" D! mUnordered categories, 无序分类 C% ?+ T8 {% y% I
Upper limit, 上限
3 H3 e( V9 f: o2 j+ @' w5 L# HUpward rank, 升秩
. w' D' g9 e/ H' O5 ]Vague concept, 模糊概念
% K9 q0 Z- h/ [- b. }2 qValidity, 有效性
7 ~3 w8 p" G9 c' R; lVARCOMP (Variance component estimation), 方差元素估计/ W$ l4 Z8 g7 |9 n% e
Variability, 变异性
1 z+ K& S: E% SVariable, 变量
- g7 u- C, S) t' nVariance, 方差9 K1 d2 M) P* I) y2 c" ^
Variation, 变异3 J" a M! p# E5 m5 P
Varimax orthogonal rotation, 方差最大正交旋转
* J0 T! W' X+ s9 N3 BVolume of distribution, 容积) F) n) o, O# e7 G1 z# N5 X
W test, W检验! x# p& {/ o3 k
Weibull distribution, 威布尔分布
. F) {* a2 `. P& T% S7 CWeight, 权数 i: g" O0 U8 m$ W1 Q8 T8 E
Weighted Chi-square test, 加权卡方检验/Cochran检验4 z% G" k- A! ?* z7 E6 j2 S
Weighted linear regression method, 加权直线回归1 Z; w% v8 ~9 J
Weighted mean, 加权平均数
; G% E$ @ W' s. x' MWeighted mean square, 加权平均方差 L/ k# e8 B& x" m, b
Weighted sum of square, 加权平方和+ K( {4 l: ^* U1 X, {
Weighting coefficient, 权重系数
{, ?9 n: [9 c ^4 t9 D7 cWeighting method, 加权法 $ n9 h7 B- i# x4 a
W-estimation, W估计量6 N* @: X5 ]. C0 m, w- {
W-estimation of location, 位置W估计量0 s& x* A* N, K. |! e9 c
Width, 宽度
3 a1 c6 k7 A, L( u2 yWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
3 S8 M W( ]! w2 [& Q5 J- C% u6 rWild point, 野点/狂点0 e3 R# H9 P2 x% ]: |, H, |% _
Wild value, 野值/狂值
* r: s; J" t8 zWinsorized mean, 缩尾均值 w2 w( [, ^2 J; {$ [
Withdraw, 失访
u9 I- c0 O' [; R+ xYouden's index, 尤登指数
, A' b$ ~7 {/ O; bZ test, Z检验# Q2 T! A6 z) i) q8 A
Zero correlation, 零相关
5 m7 R8 S- G3 U" N1 @, pZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
